package com.atguigu.flink.chapter06.state.keyed;

import com.atguigu.flink.bean.WaterSensor;
import com.atguigu.flink.function.WaterSensorMapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.state.ReducingState;
import org.apache.flink.api.common.state.ReducingStateDescriptor;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

/*
键控状态:
         归约状态（ReducingState）

VcSumState.add(value)  添加元素
VcSumState.get() 获取状态中的值：聚合后的最终结果
 */
public class ReduceStateDemo {
    public static void main(String[] args) {
        Configuration conf = new Configuration();
        conf.setInteger("rest.port",2000);
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);
        env.setParallelism(1);
        //输出每个传感器的水位和
        env.socketTextStream("hadoop102",8888)
                .map(new WaterSensorMapFunction())
                .keyBy(WaterSensor::getId)
                .process(new KeyedProcessFunction<String, WaterSensor, String>() {

                    private ReducingState<WaterSensor> vcSumState;

                    @Override
                    public void open(Configuration parameters) throws Exception {
                        vcSumState = getRuntimeContext().getReducingState(new ReducingStateDescriptor<WaterSensor>(
                                        "vcSum",
                                        new ReduceFunction<WaterSensor>() {
                                            @Override
                                            public WaterSensor reduce(WaterSensor value1,
                                                                      WaterSensor value2) throws Exception {
                                                value1.setVc(value1.getVc() + value2.getVc());
                                                return value1;
                                            }
                                        },
                                        WaterSensor.class
                                )
                        );
                    }

                    @Override
                    public void processElement(WaterSensor value,
                                               Context ctx,
                                               Collector<String> out) throws Exception {
                        vcSumState.add(value);

                        out.collect(ctx.getCurrentKey() + "的水位和：" + vcSumState.get().getVc());
                    }
                })
                .print();

        try {
            env.execute();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}



/*
vcSumState.add(value) 添加元素
vcSumState.get()  获取状态中的值: 聚合后的最终结果
 */
//public class ReduceStateDemo {
//    public static void main(String[] args) {
//        Configuration conf = new Configuration();
//        conf.setInteger("rest.port",2000);
//        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);
//        env.setParallelism(1);
//        //输出每个传感器的水位和
//        env.socketTextStream("hadoop102",8888)
//                .map(new WaterSensorMapFunction())
//                .keyBy(WaterSensor::getId)
//                .process(new KeyedProcessFunction<String, WaterSensor, String>() {
//
//                    private ReducingState<WaterSensor> vcSumState;
//
//                    @Override
//                    public void open(Configuration parameters) throws Exception {
//                        vcSumState = getRuntimeContext().getReducingState(new ReducingStateDescriptor<WaterSensor>(
//                                        "vcSum",
//                                        new ReduceFunction<WaterSensor>() {
//                                            @Override
//                                            public WaterSensor reduce(WaterSensor value1,
//                                                                      WaterSensor value2) throws Exception {
//                                                value1.setVc(value1.getVc() + value2.getVc());
//                                                return value1;
//                                            }
//                                        },
//                                        WaterSensor.class
//                                )
//                        );
//                    }
//
//                    @Override
//                    public void processElement(WaterSensor value,
//                                               Context ctx,
//                                               Collector<String> out) throws Exception {
//                        vcSumState.add(value);
//
//                        out.collect(ctx.getCurrentKey() + "的水位和;" + vcSumState.get().getVc());
//                    }
//                })
//                .print();
//
//        try {
//            env.execute();
//        } catch (Exception e) {
//            e.printStackTrace();
//        }
//    }
//}


/*
vcSumState.add(value):添加元素
vcSumState.get() 获取状态中的值：聚合后的最终结果
 */
//public class ReduceStateDemo {
//    public static void main(String[] args) {
//        Configuration conf = new Configuration();
//        conf.setInteger("rest.port",2000);
//        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);
//        env.setParallelism(1);
//        //输出每个传感器的水位和
//        env.socketTextStream("hadoop102",8888)
//                .map(new WaterSensorMapFunction())
//                .keyBy(WaterSensor::getId)
//                .process(new KeyedProcessFunction<String, WaterSensor, String>() {
//
//                    private ReducingState<WaterSensor> vcSumState;
//
//                    @Override
//                    public void open(Configuration parameters) throws Exception {
//                        vcSumState = getRuntimeContext().getReducingState(new ReducingStateDescriptor<WaterSensor>(
//                                "vcSum",
//                                new ReduceFunction<WaterSensor>() {
//                                    @Override
//                                    public WaterSensor reduce(WaterSensor value1,
//                                                              WaterSensor value2) throws Exception {
//                                        value1.setVc(value1.getVc() + value2.getVc());
//                                        return value1;
//                                    }
//                                },
//                                WaterSensor.class
//                        ));
//                    }
//
//                    @Override
//                    public void processElement(WaterSensor value,
//                                               Context ctx,
//                                               Collector<String> out) throws Exception {
//                        vcSumState.add(value);
//
//                        out.collect(ctx.getCurrentKey() + "的水位和："  + vcSumState.get().getVc());
//                    }
//                })
//                .print();
//
//        try {
//            env.execute();
//        } catch (Exception e) {
//            e.printStackTrace();
//        }
//    }
//}